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Is the Digital Agency Model Broken, or Are We Just Calling It the Wrong Thing? With Brent Weaver | Ep #920
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Are you running an AI-first agency and telling yourself you have made the shift, when what you have actually done is give everyone on your team a faster version of the same job? After months of AI training, are you wondering why the team still works the same way it always did?
Today's featured guest currently serves a CEO of a white-label agency serving over 400 partner agencies worldwide. He came into the role specifically to go deep on AI, and what he found was not an upgrade to the existing model. It was a fundamentally different model. In this episode, he draws the line between an AI-first agency and an agentic agency, what that distinction actually means structurally, and what the parallel-build approach looks like inside a 400-person operation.
Brent Weaver is the CEO of E2M Solutions, a white-label digital agency with a team of over 400 people serving more than 400 partner agencies worldwide across web development, SEO, paid media, content, and AI services.
Before E2M, Brent built and sold his own agency, UGURUS, where he spent years coaching agency owners on positioning, sales, and growth. He joined E2M deliberately, partly because it gave him a forcing function to go all-in on AI at scale rather than observe it from the outside. Brent has been on the podcast before, discussing the sale of UGURUS, and how he found his next path.
In this episode, we'll discuss:
AI-first agencies vs agentic agencies
Creating a separate AI services team
What happens to thinking when you stop doing it?
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Sponsors and Resources E2M Solutions: Today's episode of the Smart Agency Masterclass is sponsored by E2M Solutions, a web design and development agency that has provided white-label services for the past 10 years to agencies all over the world. Check out e2msolutions.com/smartagency and get 10% off for the first three months of service.
The Difference Between AI-First and Agentic, and Why It Matters Most agency owners who say they have adopted AI have adopted AI-first. What's the difference? Everyone on the team has an assistant, things ship a little faster, and the org chart looks the same, yet the billable expectations have quietly gone up.